Literature DB >> 22965941

Clinical review: Genome-wide association studies of skeletal phenotypes: what we have learned and where we are headed.

Yi-Hsiang Hsu1, Douglas P Kiel.   

Abstract

CONTEXT: The primary goals of genome-wide association studies (GWAS) are to discover new molecular and biological pathways involved in the regulation of bone metabolism that can be leveraged for drug development. In addition, the identified genetic determinants may be used to enhance current risk factor profiles. EVIDENCE ACQUISITION: There have been more than 40 published GWAS on skeletal phenotypes, predominantly focused on dual-energy x-ray absorptiometry-derived bone mineral density (BMD) of the hip and spine. EVIDENCE SYNTHESIS: Sixty-six BMD loci have been replicated across all the published GWAS, confirming the highly polygenic nature of BMD variation. Only seven of the 66 previously reported genes (LRP5, SOST, ESR1, TNFRSF11B, TNFRSF11A, TNFSF11, PTH) from candidate gene association studies have been confirmed by GWAS. Among 59 novel BMD GWAS loci that have not been reported by previous candidate gene association studies, some have been shown to be involved in key biological pathways involving the skeleton, particularly Wnt signaling (AXIN1, LRP5, CTNNB1, DKK1, FOXC2, HOXC6, LRP4, MEF2C, PTHLH, RSPO3, SFRP4, TGFBR3, WLS, WNT3, WNT4, WNT5B, WNT16), bone development: ossification (CLCN7, CSF1, MEF2C, MEPE, PKDCC, PTHLH, RUNX2, SOX6, SOX9, SPP1, SP7), mesenchymal-stem-cell differentiation (FAM3C, MEF2C, RUNX2, SOX4, SOX9, SP7), osteoclast differentiation (JAG1, RUNX2), and TGF-signaling (FOXL1, SPTBN1, TGFBR3). There are still 30 BMD GWAS loci without prior molecular or biological evidence of their involvement in skeletal phenotypes. Other skeletal phenotypes that either have been or are being studied include hip geometry, bone ultrasound, quantitative computed tomography, high-resolution peripheral quantitative computed tomography, biochemical markers, and fractures such as vertebral, nonvertebral, hip, and forearm.
CONCLUSIONS: Although several challenges lie ahead as GWAS moves into the next generation, there are prospects of new discoveries in skeletal biology. This review integrates findings from previous GWAS and provides a roadmap for future directions building on current GWAS successes.

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Year:  2012        PMID: 22965941      PMCID: PMC3674343          DOI: 10.1210/jc.2012-1890

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  105 in total

1.  Genetic analyses in a sample of individuals with high or low BMD shows association with multiple Wnt pathway genes.

Authors:  Anne-Marie Sims; Neil Shephard; Kim Carter; Tracy Doan; Alison Dowling; Emma L Duncan; John Eisman; Graeme Jones; Geoffrey Nicholson; Richard Prince; Ego Seeman; Gethin Thomas; John A Wass; Matthew A Brown
Journal:  J Bone Miner Res       Date:  2008-04       Impact factor: 6.741

2.  Shifting paradigm of association studies: value of rare single-nucleotide polymorphisms.

Authors:  Ivan P Gorlov; Olga Y Gorlova; Shamil R Sunyaev; Margaret R Spitz; Christopher I Amos
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

3.  Small-scale copy number variation and large-scale changes in gene expression.

Authors:  Yuriy Mileyko; Richard I Joh; Joshua S Weitz
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-22       Impact factor: 11.205

Review 4.  Contribution of gender-specific genetic factors to osteoporosis risk.

Authors:  D Karasik; S L Ferrari
Journal:  Ann Hum Genet       Date:  2008-05-08       Impact factor: 1.670

Review 5.  Genetic mapping in human disease.

Authors:  David Altshuler; Mark J Daly; Eric S Lander
Journal:  Science       Date:  2008-11-07       Impact factor: 47.728

6.  FRAX and the assessment of fracture probability in men and women from the UK.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

7.  Multiple genetic loci for bone mineral density and fractures.

Authors:  Unnur Styrkarsdottir; Bjarni V Halldorsson; Solveig Gretarsdottir; Daniel F Gudbjartsson; G Bragi Walters; Thorvaldur Ingvarsson; Thorbjorg Jonsdottir; Jona Saemundsdottir; Jacqueline R Center; Tuan V Nguyen; Yu Bagger; Jeffrey R Gulcher; John A Eisman; Claus Christiansen; Gunnar Sigurdsson; Augustine Kong; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  N Engl J Med       Date:  2008-04-29       Impact factor: 91.245

8.  Rare independent mutations in renal salt handling genes contribute to blood pressure variation.

Authors:  Weizhen Ji; Jia Nee Foo; Brian J O'Roak; Hongyu Zhao; Martin G Larson; David B Simon; Christopher Newton-Cheh; Matthew W State; Daniel Levy; Richard P Lifton
Journal:  Nat Genet       Date:  2008-04-06       Impact factor: 38.330

9.  Identification of PLCL1 gene for hip bone size variation in females in a genome-wide association study.

Authors:  Yao-Zhong Liu; Scott G Wilson; Liang Wang; Xiao-Gang Liu; Yan-Fang Guo; Jian Li; Han Yan; Panos Deloukas; Nicole Soranzo; Usha Chinappen-Horsley; Usha Chinnapen-Horsley; Alessandra Cervino; Alesandra Cervino; Frances M Williams; Dong-Hai Xiong; Yin-Ping Zhang; Tian-Bo Jin; Shawn Levy; Christopher J Papasian; Betty M Drees; James J Hamilton; Robert R Recker; Tim D Spector; Hong-Wen Deng
Journal:  PLoS One       Date:  2008-09-08       Impact factor: 3.240

10.  Bone mineral density, osteoporosis, and osteoporotic fractures: a genome-wide association study.

Authors:  J B Richards; F Rivadeneira; M Inouye; T M Pastinen; N Soranzo; S G Wilson; T Andrew; M Falchi; R Gwilliam; K R Ahmadi; A M Valdes; P Arp; P Whittaker; D J Verlaan; M Jhamai; V Kumanduri; M Moorhouse; J B van Meurs; A Hofman; H A P Pols; D Hart; G Zhai; B S Kato; B H Mullin; F Zhang; P Deloukas; A G Uitterlinden; T D Spector
Journal:  Lancet       Date:  2008-05-03       Impact factor: 79.321

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  45 in total

1.  Polymorphisms in Wnt signaling pathway genes are associated with peak bone mineral density, lean mass, and fat mass in Chinese male nuclear families.

Authors:  Y Zheng; C Wang; H Zhang; C Shao; L-H Gao; S-S Li; W-J Yu; J-W He; W-Z Fu; Y-Q Hu; M Li; Y-J Liu; Z-L Zhang
Journal:  Osteoporos Int       Date:  2016-01-05       Impact factor: 4.507

2.  Replication study of three functional polymorphisms associated with bone mineral density in a cohort of Spanish women.

Authors:  Layla Panach; Damián Mifsut; Juan J Tarín; Antonio Cano; Miguel Ángel García-Pérez
Journal:  J Bone Miner Metab       Date:  2013-12-14       Impact factor: 2.626

Review 3.  Bone remodeling markers and bone metastases: From cancer research to clinical implications.

Authors:  Arlindo Ferreira; Irina Alho; Sandra Casimiro; Luís Costa
Journal:  Bonekey Rep       Date:  2015-04-22

4.  A trabecular plate-like phenotype is overrepresented in Chinese-American versus Caucasian women.

Authors:  M D Walker; S Shi; J J Russo; X S Liu; B Zhou; C Zhang; G Liu; D J McMahon; J P Bilezikian; X E Guo
Journal:  Osteoporos Int       Date:  2014-07-29       Impact factor: 4.507

Review 5.  Genetics of aging bone.

Authors:  Douglas J Adams; David W Rowe; Cheryl L Ackert-Bicknell
Journal:  Mamm Genome       Date:  2016-06-06       Impact factor: 2.957

Review 6.  Relaxin and insulin-like peptide 3 in the musculoskeletal system: from bench to bedside.

Authors:  Alberto Ferlin; Luca De Toni; Marco Sandri; Carlo Foresta
Journal:  Br J Pharmacol       Date:  2016-05-05       Impact factor: 8.739

Review 7.  The genetics of bone mass and susceptibility to bone diseases.

Authors:  David Karasik; Fernando Rivadeneira; Mark L Johnson
Journal:  Nat Rev Rheumatol       Date:  2016-04-07       Impact factor: 20.543

8.  Strong effect of SNP rs4988300 of the LRP5 gene on bone phenotype of Caucasian postmenopausal women.

Authors:  Péter Horváth; Bernadett Balla; János P Kósa; Bálint Tóbiás; Balázs Szili; Gyöngyi Kirschner; Gabriella Győri; Karina Kató; Péter Lakatos; István Takács
Journal:  J Bone Miner Metab       Date:  2015-03-12       Impact factor: 2.626

9.  Association between SNPs and haplotypes in the METTL21C gene and peak bone mineral density and body composition in Chinese male nuclear families.

Authors:  Fei Zhao; Li-Hong Gao; Shan-Shan Li; Zhan-Ying Wei; Wen-Zhen Fu; Jin-Wei He; Yu-Juan Liu; Yun-Qiu Hu; Jing Dong; Zhen-Lin Zhang
Journal:  J Bone Miner Metab       Date:  2016-09-14       Impact factor: 2.626

Review 10.  Genetic regulation of bone strength: a review of animal model studies.

Authors:  Douglas J Adams; Cheryl L Ackert-Bicknell
Journal:  Bonekey Rep       Date:  2015-07-08
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